Himanshu Sharma, M.Phil.

Mr. Himanshu Sharma, M.Phil.

Areas of Expertise

  • Operational Research
  • Statistics
  • Econometrics
  • Marketing Research
  • Multi-Criteria Decision Making
  • Path Analysis Modeling

Himanshu Sharma, M.Phil.

Assistant Professor

The art of teaching is the art of assisting discovery.


As an Assistant Professor of Management in Shaheed Sukhdev College of Business Studies, his primary teaching areas are business statistics and quantitative techniques. His research interest lies in the following domain- online marketing, multi criteria decision making, path modeling, and machine learning. After earning his B.Sc. (H) in Mathematics from University of Delhi, he completed his M.Sc. and M.Phil. in Operational Research from University of Delhi.


  • Ph.D. (pursuing), Operational Research, University of Delhi, Delhi.
  • M.Phil., Operational Research, University of Delhi, Delhi, 2017.
  • M.Sc., Operational Research, University of Delhi, Delhi, 2015
  • B.Sc.(H), Mathematics, University of Delhi, Delhi, 2013.


  • Kapur, P.K., Sharma, H., Tandon, A., & Aggarwal, A. G. (2020). Studying BHIM App Adoption using Bass Model: An Indian Perspective. International Journal of Mathematical, Engineering and Management Sciences, 5(1), 120-135.
  • Sharma, H. and Aggarwal, A. (2019), "What factors determine reviewer credibility? An econometric approach validated through predictive modeling". Kybernetes, Earlycite.
  • Sharma, H., Tandon, A., Kapur, P. K., & Aggarwal, A. G. (2019). Ranking hotels using aspect ratings based sentiment classification and interval-valued neutrosophic TOPSIS. International Journal of System Assurance Engineering and Management, 10(5), 1-11.
  • Sharma, H., & Aggarwal, A. G. (2019). Finding determinants of e-commerce success: a PLS-SEM approach. Journal of Advances in Management Research, 16(4), 453-471.
  • Tandon, A., Sharma, H., & Aggarwal, A. G. (2019). Assessing Travel Websites Based on Service Quality Attributes Under Intuitionistic Environment. International Journal of Knowledge-Based Organizations (IJKBO), 9(1), 66-75.